92 citations · 308 across the 20 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.CL2019
Predicting In-game Actions from Interviews of NBA Players
Nadav Oved, Amir Feder, Roi Reichart
Sports competitions are widely researched in computer and social science, with the goal of understanding how players act under uncertainty. While there is an abundance of computati…
cs.LG2019★ 92 cited
Explaining Classifiers with Causal Concept Effect (CaCE)
Yash Goyal, Amir Feder, Uri Shalit +1
How can we understand classification decisions made by deep neural networks? Many existing explainability methods rely solely on correlations and fail to account for confounding, w…